Software Dev Engineer II, Measurement, Ad Tech, and Data Science (MADS)

Are you excited about operating at Internet scale? Do you want to work at the intersection of Machine Learning, Data Science, and Causal Inference? Do you like inventing, growing and learning from the world-class engineers and scientists? If so, we want to hear from you!

Key job responsibilities: You will be responsible for designing and developing software products that will provide measurement data to a wide set of users across all of Amazon's advertising suite. You will be able to demonstrate a variety of approaches and design patterns and have a demonstrated competence in designing maintainable and scalable software written in a high-level language. You'll work with Data & Applied Scientists, Economists, and other senior technical leaders who are advancing measurement science and causal inference. You will show your ability to adapt to changing technical environments and devise creative solutions to vexing software problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for extreme growth.

A day in the life: We measure the effectiveness of ads through a range of causal measurement and modeling techniques, including scientific experiments and ML. We do this to enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely causal measurement for all Amazon ad products. We use a combination of deterministic and modeled measurement techniques to produce the estimates that are fast, accurate, and actionable. We apply the latest AWS big data and machine learning technologies on over 50 billion new events per day, operating petabyte size clusters. We constantly invent on our cutting-edge event-driven architectures to stay ahead of growing scale.

About the team: This team is building the core causal measurement and modeling capabilities serving all Amazon Ads. We work with a variety of systems and languages: combining AWS services like EMR, Kinesis and AWS Batch, with open source technologies such as Spark, Presto and PyTorch.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.